Application of classification trees to identify embankment seepage

Abstract The article discusses a method to control seepage in shafts. A special shaft model was built for this purpose. paper mainly focuses on electrical impedance tomography with image reconstruction where the machine learning used, then results were compared and different numerical models applied. key parameters are speed of analysis accuracy reconstructed objects. Applications most often present challenges obtaining spatial data from observations outside measurement limits. Inverse problems solved obtain algorithm. main advantage discussed solution is possibility analysing multidimensional as well high processing speed. Classification trees used feedback degree embankment seepage.